Michael J. Frank

Brown University, Providence, RI 
computational models, basal ganglia, reinforcement learning, decision making
"Michael Frank"
Mean distance: 13.61 (cluster 23)
Cross-listing: Computational Biology Tree


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Randall C. O'Reilly grad student 1999-2004 CU Boulder
 (Dynamic dopamine modulation of striato-cortical circuits in cognition: Converging neuropsychological, psychopharmacological and computational studies.)
Tim Curran post-doc 2004-2005 CU Boulder


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Wasita Mahaphanit research assistant 2018- Brown
Thomas V. Wiecki grad student Brown
Alana Jaskir grad student 2018-
Shikhar Kumar grad student 2007-2009 University of Arizona
Nicholas T Franklin grad student 2011-2017 Brown
Harrison Ritz grad student 2016-2021 Brown
Ahmed A. Moustafa post-doc Rutgers, New Brunswick
Matt R. Nassar post-doc Brown
Anne GE Collins post-doc 2010- Brown
James F. Cavanagh post-doc 2010-2013 Brown
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Diekhof EK, Geana A, Ohm F, et al. (2021) The Straw That Broke the Camel's Back: Natural Variations in 17β-Estradiol and COMT-Val158Met Genotype Interact in the Modulation of Model-Free and Model-Based Control. Frontiers in Behavioral Neuroscience. 15: 658769
Westbrook A, Frank MJ, Cools R. (2021) A mosaic of cost-benefit control over cortico-striatal circuitry. Trends in Cognitive Sciences
Rac-Lubashevsky R, Frank MJ. (2021) Analogous computations in working memory input, output and motor gating: Electrophysiological and computational modeling evidence. Plos Computational Biology. 17: e1008971
Pedersen ML, Ironside M, Amemori KI, et al. (2021) Computational phenotyping of brain-behavior dynamics underlying approach-avoidance conflict in major depressive disorder. Plos Computational Biology. 17: e1008955
Geana A, Barch DM, Gold JM, et al. (2021) Using Computational Modelling to Capture Schizophrenia-Specific Reinforcement Learning Differences and Their Implications on Patient Classification. Biological Psychiatry. Cognitive Neuroscience and Neuroimaging
Hamid AA, Frank MJ, Moore CI. (2021) Wave-like dopamine dynamics as a mechanism for spatiotemporal credit assignment. Cell
Fengler A, Govindarajan LN, Chen T, et al. (2021) Likelihood approximation networks (LANs) for fast inference of simulation models in cognitive neuroscience. Elife. 10
Nassar MR, Waltz JA, Albrecht MA, et al. (2021) All or nothing belief updating in patients with schizophrenia reduces precision and flexibility of beliefs. Brain : a Journal of Neurology
Waltz JA, Wilson RC, Albrecht MA, et al. (2020) Differential Effects of Psychotic Illness on Directed and Random Exploration. Computational Psychiatry (Cambridge, Mass.). 4: 18-39
Lehnert L, Littman ML, Frank MJ. (2020) Reward-predictive representations generalize across tasks in reinforcement learning. Plos Computational Biology. 16: e1008317
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